AI-Driven IoT Security Enhancements Using Blockchain Technology: A DataDriven Approach

Abstract

The utilities of the IoT devices that industries are currently using are increasing at a very alarming rate based on the latest statistics meaning that very large figures of security issues are raised in terms of management and safeguarding of information. The traditional security systems would fail in an IoT network whereby more and more objects would connect to each other to generate massive amount of data. The paper will discuss the ways in which embracing Artificial Intelligence (AI) and Blockchain can enhance security of the IoT. Artificial Intelligence can identify bug lapses, prevent infiltrations and provide predictive security claims and Blockchain can secure messages and guarantee data continuity and decentralized loyalty. The AI based and blockchain used security protection comes with the security protection provided by the proposed IoT security protection that gives the real time identification and efficacy of the IoT security threats in the IoT systems. In this context, the use of data-driven approach can be implemented and this aspect in itself makes this framework dynamic as pertains to the security environment. This way, it provides a decent cover to a variety of hazards. The paper now looks into realities on how this holistic approach can be applied in the real life of actual implementation of the same in the real life of actual implementation of the IoT system and how effective it can go to the point of making the IoT systems more efficient in the realms of enhancing the security and scalability of the IoT systems. Any case on information theft, unauthorized access to the systems and vulnerability of systems are traced the answer as the results of the experiment show that the AI and Blockchain will be able to provide powerful tool in the securing of IoT devices.